SVM-RNE – Classification and Biomarker Identification using Gene Network modules and Support Vector Machines

SVM-RNE

:: DESCRIPTION

SVM-RNE (SVM with Recursive Network Elimination) uses the Gene Expression Network Analysis Tool (GXNA) , a clustering method, to identify correlated gene clusters, and Support Vector Machines to identify and (rank) those gene networks (clusters) for accuracy of classification.

::DEVELOPER

Malik Yousef

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • C++ Compiler
  • MatLab

:: DOWNLOAD

  SVM-RNE

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2009 Oct 15;10:337. doi: 10.1186/1471-2105-10-337.
Classification and biomarker identification using gene network modules and support vector machines.
Yousef M, Ketany M, Manevitz L, Showe LC, Showe MK.